Special Issue on 

Mining Complex Patterns from Complex and Massive Data 

Journal of Intelligent Information Systems


     

Scope and Background
Massive and complex data pose new challenges for current research in Knowldedge Discovery and Data Mining. They require new methods for storing, managing and analysing them by dealing with various complexity aspects:

·         Data with a complex structure (e.g. multi-relational, time series and sequences, networks, and trees) are considered as input and/or output of the data mining process.

·         Data collections with many examples and/or many dimensions are processed in (near) real time. These massive data may arrive continuously as a stream, at high rate, subject to concept drift.

We welcome submissions focusing on recent advances and latest developments in the analysis of complex and massive data sources such as blogs, event or log data, medical data, spatio-temporal data, social networks, mobility data, sensor data and streams. Submissions discussing and introducing new algorithmic foundations and representation formalisms in complex pattern discovery are also welcome. Finally, we encourage submissions from the areas of statistics, machine learning and big data analytics, which present advanced techniques that take advantage of the informative richness of  both complex data and massive data for identifying, efficiently and effectively, new patterns.



Topics of interest
An indicative non‐exhaustive list of topics includes
  • Foundations on pattern mining, pattern usage, and pattern understanding
  • Mining stream, time-series and sequence data
  • Mining networks and graphs
  • Mining biological data
  • Mining dynamic and evolving data
  • Mining environmental and scientific data
  • Mining heterogeneous and ubiquitous data
  • Mining multimedia data
  • Mining multi-relational data
  • Mining semi-structured and unstructured data
  • Mining spatio-temporal data
  • Mining Big Data
  • Social Media Analytics
  • Ontology and metadata
  • Privacy preserving mining
  • Semantic Web and Knowledge Databases

All papers will be reviewed following standard reviewing procedures for the Journal of Intelligent Information Systems. Papers must be prepared in accordance with the Journal guidelines: http://www.springer.com/10844



Schedule

Submission deadline: 3 July  2017  Extended 14 July

First review results:   30 September 2017

Revised papers due:   15 November 2017

Final selection: 15 January 2018

Publication: February 2018 (planned)




Submission

Authors should submit their paper by using s EM system for JIIS (https://www.editorialmanager.com/jiis/default.aspx) and selecting article type Mining Complex Patterns from Complex and Massive Data


Guest Editors

Annalisa Appice University of Bari "Aldo Moro", Bari, Italy

Michelangelo Ceci University of Bari "Aldo Moro", Bari, Italy

Corrado Loglisci University of Bari "Aldo Moro", Bari, Italy

Elio Masciari ICAR-CNR, Rende, Italy